The Association Between PM2.5 Exposure and Diabetes Mellitus Among Thai Army Personnel.

IF 2.8 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Apisorn Laorattapong, Sarun Poobunjirdkul, Thanapoom Thanapoom, Wiroj Jiamjarasrangsi
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引用次数: 1

Abstract

Objectives: This study investigated the association between baseline exposures to particulate matter with a diameter < 2.5 microns (PM2.5) and subsequent temporal changes in PM2.5 exposure with the incidence of type 2 diabetes among Royal Thai Army personnel.

Methods: A retrospective cohort study was conducted using nationwide health check-up data from 21 325 Thai Army personnel between 2018 and 2021. Multilevel mixed-effects parametric survival statistics were utilized to analyze the relationship between baseline (i.e., PM2.5-baseline) and subsequent changes (i.e., PM2.5-change) in PM2.5 exposure and the occurrence of type 2 diabetes. Hazard ratios (HRs) and 95% confidence intervals (CIs) were employed to assess this association while considering covariates.

Results: There was a significant association between both PM2.5 baseline and PM2.5-change and the incidence of type 2 diabetes in a dose-response manner. Compared to quartile 1, the HRs for quartiles 2 to 4 of PM2.5-baseline were 1.11 (95% CI, 0.74 to 1.65), 1.51 (95% CI, 1.00 to 2.28), and 1.77 (95% CI, 1.07 to 2.93), respectively. Similarly, the HRs for quartiles 2 to 4 of PM2.5-change were 1.41 (95% CI, 1.14 to 1.75), 1.43 (95% CI, 1.13 to 1.81) and 2.40 (95% CI, 1.84 to 3.14), respectively.

Conclusions: Our findings contribute to existing evidence regarding the association between short-term and long-term exposure to PM2.5 and the incidence of diabetes among personnel in the Royal Thai Army.

Abstract Image

Abstract Image

泰国军队人员PM2.5暴露与糖尿病的关系。
目的:本研究调查了泰国皇家陆军人员接触直径<2.5微米颗粒物(PM2.5)的基线暴露量和随后PM2.5暴露量的时间变化与2型糖尿病发病率之间的关系。方法:使用2018年至2021年间21225名泰国陆军人员的全国健康检查数据进行回顾性队列研究。利用多水平混合效应参数生存统计来分析PM2.5暴露的基线(即PM2.5基线)和随后的变化(即PM2.5-变化)与2型糖尿病发生之间的关系。采用危险比(HR)和95%置信区间(CI)来评估这种关联,同时考虑协变量。结果:PM2.5基线和PM2.5变化与2型糖尿病发病率呈剂量-反应关系。与四分位数1相比,PM2.5基线的四分位数2至4的HR分别为1.11(95%CI,0.74至1.65)、1.51(95%可信区间,1.00至2.28)和1.77(95%置信区间,1.07至2.93)。类似地,PM2.5范围的四分位数2-4的HR分别为1.41(95%CI,1.14至1.75)、1.43(95%可信区间,1.13至1.81)和2.40(95%置信区间,1.84至3.14)。结论:我们的研究结果有助于现有证据表明,短期和长期暴露于PM2.5与泰国皇家陆军人员糖尿病发病率之间存在关联。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Preventive Medicine and Public Health
Journal of Preventive Medicine and Public Health Medicine-Public Health, Environmental and Occupational Health
CiteScore
6.40
自引率
0.00%
发文量
60
审稿时长
8 weeks
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